Recent trends on omics and bioinformatics approaches to study SARS-CoV-2: A bibliometric analysis and mini-review

. 2021 Jan ; 128 () : 104162. [epub] 20201203

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/pmid33310371

BACKGROUND: The successful sequencing of SARS-CoV-2 cleared the way for the use of omics technologies and integrative biology research for combating the COVID-19 pandemic. Currently, many research groups have slowed down their respective projects to concentrate efforts in the study of the biology of SARS-CoV-2. In this bibliometric analysis and mini-review, we aimed to describe how computational methods or omics approaches were used during the first months of the COVID-19 pandemic. METHODS: We analyzed bibliometric data from Scopus, BioRxiv, and MedRxiv (dated June 19th, 2020) using quantitative and knowledge mapping approaches. We complemented our analysis with a manual process of carefully reading the selected articles to identify either the omics or bioinformatic tools used and their purpose. RESULTS: From a total of 184 articles, we found that metagenomics and transcriptomics were the main sources of data to perform phylogenetic analysis aimed at corroborating zoonotic transmission, identifying the animal origin and taxonomic allocation of SARS-CoV-2. Protein sequence analysis, immunoinformatics and molecular docking were used to give insights about SARS-CoV-2 targets for drug and vaccine development. Most of the publications were from China and USA. However, China, Italy and India covered the top 10 most cited papers on this topic. CONCLUSION: We found an abundance of publications using omics and bioinformatics approaches to establish the taxonomy and animal origin of SARS-CoV-2. We encourage the growing community of researchers to explore other lesser-known aspects of COVID-19 such as virus-host interactions and host response.

Zobrazit více v PubMed

Zhang Y., Geng X., Tan Y., Li Q., Xu C., Xu J. New Understanding of the Damage of SARS-CoV-2 Infection outside the Respiratory System. Biomed. Pharmacother. 2020;127:110195. Elsevier Masson SAS. PubMed PMC

Wan Y., Shang J., Graham R., Baric R.S., Li F. Receptor recognition by the novel coronavirus from wuhan: an analysis based on decade-long structural studies of SARS coronavirus. J. Virol. 2020 Mar;94(7) PubMed PMC

Letko M., Marzi A., Munster V. Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses. Nat Microbiol. 2020 Feb;5:562–569. PubMed PMC

Qi F., Qian S., Zhang S., Zhang Z., Matsuyama S., Taguchi F. Single cell RNA sequencing of 13 human tissues identify cell types and receptors of human coronaviruses. Biochem. Biophys. Res. Commun. 2020 Mar;83(21):11133–11141. PubMed PMC

Sungnak W., Huang N., Bécavin C., Berg M., Queen R., Litvinukova M. SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes. Nat. Med. 2020 May;26(5):681–687. PubMed PMC

Venkatakrishnan A.J., Puranik A., Anand A., Zemmour D., Yao X., Wu X. Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. Elife. 2020 May;9 PubMed PMC

Fanelli V., Fiorentino M., Cantaluppi V., Gesualdo L., Stallone G., Ronco C. Acute kidney injury in SARS-CoV-2 infected patients. Critical Care. 2020;24 BioMed Central Ltd. PubMed PMC

Belouzard S., Millet J.K., Licitra B.N., Whittaker G.R. Mechanisms of coronavirus cell entry mediated by the viral spike protein. Viruses. 2012 Jun;4(6):1011–1033. PubMed PMC

Ray S., Srivastava S. COVID-19 pandemic: hopes from proteomics and multiomics research. OMICS A J. Integr. Biol. 2020 May;24:457–459. omi.2020.0073. PubMed

van Eck N.J., Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010 Aug;84(2):523–538. PubMed PMC

Wu F., Zhao S., Yu B., Chen Y.-M., Wang W., Song Z.-G. A new coronavirus associated with human respiratory disease in China. Nature. 2020;579(7798):265–269. PubMed PMC

Chan J.F.-W., Kok K.-H., Zhu Z., Chu H., To K.K.-W., Yuan S. Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan. Emerg. Microb. Infect. 2020;9(1):221–236. PubMed PMC

Chen L., Liu W., Zhang Q., Xu K., Ye G., Wu W. RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak. Emerg. Microb. Infect. 2020;9(1):313–319. PubMed PMC

Ahmed S.F., Quadeer A.A., McKay M.R. Preliminary identification of potential vaccine targets for the COVID-19 coronavirus (SARS-CoV-2) based on SARS-CoV immunological studies. Viruses. 2020;12(3):254. PubMed PMC

Bhattacharya M., Sharma A.R., Patra P., Ghosh P., Sharma G., Patra B.C. Development of epitope-based peptide vaccine against novel coronavirus 2019 (SARS-COV-2): immunoinformatics approach. J. Med. Virol. 2020;92(6):618–631. PubMed PMC

Jin X., Lian J.-S., Hu J.-H., Gao J., Zheng L., Zhang Y.-M. Epidemiological, clinical and virological characteristics of 74 cases of coronavirus-infected disease 2019 (COVID-19) with gastrointestinal symptoms. Gut. 2020;69(6):1002–1009. PubMed PMC

Xiong Y., Liu Y., Cao L., Wang D., Guo M., Jiang A. Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients. Emerg. Microb. Infect. 2020;9(1):761–770. PubMed PMC

World Health Organization . World Health Organization; 2020. Weekly Epidemiological Update - 27 October 2020.https://www.who.int/publications/m/item/weekly-epidemiological-update---27-october-2020 Available from:

Chasapi A., Promponas V.J., Ouzounis C.A. The bioinformatics wealth of nations. Bioinformatics. 2020 Mar 4;36(9):2963–2965. PubMed PMC

Som A., Kumari P., Ghosh A. Advancing India's bioinformatics education and research: an assessment and outlook. J. Protein Proteonomics. 2019;10(3):257–267.

Wang M., Liu P., Zhang R., Li Z., Li X. A scientometric analysis of global Health research. Int. J. Environ. Res. Publ. Health. 2020 Apr;17(8):2963. PubMed PMC

Shay J.W., Homma N., Zhou R., Naseer M.I., Chaudhary A.G., Al-Qahtani M. Abstracts from the 3rd international genomic medicine conference (3rd IGMC 2015) : Jeddah, Kingdom of Saudi Arabia. BMC Genom. 2016 Jul;17(Suppl 6):487. 30 November - 3 December 2015. PubMed PMC

Zhang C., Zheng W., Huang X., Bell E.W., Zhou X., Zhang Y. Protein structure and sequence reanalysis of 2019-nCoV genome refutes snakes as its intermediate host and the unique similarity between its spike protein insertions and HIV-1. J. Proteome Res. 2020;19(4):1351–1360. PubMed PMC

Wahba L., Jain N., Fire A.Z., Shoura M.J., Artiles K.L., McCoy M.J. An extensive meta-metagenomic search identifies SARS-CoV-2-homologous sequences in pangolin lung viromes. mSphere. 2020;5(3) PubMed PMC

Lam T.T.-Y., Shum M.H.-H., Zhu H.-C., Tong Y.-G., Ni X.-B., Liao Y.-S. Identifying SARS-CoV-2 related coronaviruses in Malayan pangolins. Nature. 2020;1–4 PubMed

Khan A.A., Khan Z. COVID-2019 associated overexpressed Prevotella proteins mediated host-pathogen interactions and their role in coronavirus outbreak. Bioinformatics. 2020;36:4065–4069. PubMed PMC

Bojkova D., Klann K., Koch B., Widera M., Krause D., Ciesek S. Proteomics of SARS-CoV-2-infected host cells reveals therapy targets. Nature. 2020;583(7816):469–472. PubMed PMC

Robson B. Bioinformatics studies on a function of the SARS-CoV-2 spike glycoprotein as the binding of host sialic acid glycans. Comput. Biol. Med. 2020;122 PubMed PMC

Robson B. COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles' heel conserved region to minimize probability of escape mutations and drug resistance. Comput. Biol. Med. 2020:121. PubMed PMC

Robson B. Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus. Comput. Biol. Med. 2020:119. PubMed PMC

Neogi U., Hill K.J., Ambikan A.T., Heng X., Quinn T.P., Byrareddy S.N. Feasibility of known rna polymerase inhibitors as anti-sars-cov-2 drugs. Pathogens. 2020;9(5):320. PubMed PMC

Sepay N., Sepay N., Al Hoque A., Mondal R., Halder U.C., Muddassir M. In silico fight against novel coronavirus by finding chromone derivatives as inhibitor of coronavirus main proteases enzyme. Struct. Chem. 2020;1 PubMed PMC

Kumar V., Dhanjal J.K., Kaul S.C., Wadhwa R., Sundar D. With an one and caffeic acid phenethyl ester are predicted to interact with main protease (Mpro) of SARS-CoV-2 and inhibit its activity. J. Biomol. Struct. Dyn. 2020:1–17. PubMed PMC

Arisan E.D., Dart A., Grant G.H., Arisan S., Cuhadaroglu S., Lange S. The prediction of miRNAs in SARS-CoV-2 genomes: hsa-miR databases identify 7 key miRs linked to host responses and virus pathogenicity-related KEGG pathways significant for comorbidities. Viruses. 2020;12(6):614. PubMed PMC

Yang X.-L., Yuan Y.-L., Zhang J., Wang R.-F., Ni L.-Q. Exploring potential effect of Shengjiang San on SARS-CoV-2 based on network pharmacology and molecular docking. Chin. Tradit. Herb. Drugs. 2020;51(7):1795–1803.

Umesh U., Kundu D., Selvaraj C., Singh S.K., Dubey V.K. Identification of new anti-nCoV drug chemical compounds from Indian spices exploiting SARS-CoV-2 main protease as target. J. Biomol. Struct. Dyn. 2020:1–9. PubMed PMC

Rehman S.U., Shafique L., Ihsan A., Liu Q. Evolutionary trajectory for the emergence of novel coronavirus SARS-CoV-2. Pathogens. 2020;9(3):240. PubMed PMC

Malik Y.S., Sircar S., Bhat S., Sharun K., Dhama K., Dadar M. Emerging novel coronavirus (2019-nCoV)—current scenario, evolutionary perspective based on genome analysis and recent developments. Vet. Q. 2020;40(1):68–76. PubMed PMC

Srinivasan S., Cui H., Gao Z., Liu M., Lu S., Mkandawire W. Structural genomics of SARS-COV-2 indicates evolutionary conserved functional regions of viral proteins. Viruses. 2020;12(4):360. PubMed PMC

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...